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Meliha Rabiye ŞİMŞEKView profile

Associate Professor

• Foreign Language Education
• English Language Teaching (ELT)
• Turkish as a Foreign Language
• +12 more

Assoc. Prof. Dr. Meliha Rabiye ŞİMŞEK is a faculty member at Sakarya University, Faculty of Education, Department of Foreign Language Education. She holds a prominent role in English and Turkish as a foreign language education, contributing extensively to materials development, cultural representation, and teacher training. Her research interests include: Foreign Language Education Materials Evaluation and Development Cultural Representation in Language Teaching Use of L1 in L2 Instruction Service-Learning and Digital Storytelling in ELT Applied Linguistics and Teacher Education Her recent scholarly work demonstrates a strong focus on inclusivity, critical pedagogy, and innovative teaching methods. She has published on topics such as corpus-based analysis of refugee reading materials, emancipatory L2 instruction through digital storytelling, and gender representation in EFL materials. Her publications span high-impact journals in education and applied linguistics. Scientific awards include: TÜBİTAK 2224-A Support for International Scientific Events (2017) Cambridge University Bursary for Dewey2016 Conference (2016) ODTÜ Faculty of Education Dean's Service Award (2013) Buca Faculty of Education First Prize (2004) She has advised graduate students, notably E. Dundar, whose thesis she supervised. She has been involved in multiple national and international research projects, including TÜBİTAK-supported summer and winter schools for teaching Turkish as a foreign language. Her editorial and refereeing roles in journals such as European Journal of Educational Research , The IAFOR Journal of Education , and TESOL Journal highlight her active engagement in the academic community. She has also served as session chair at numerous international conferences, including ICONSED, ICONSOS, and ERPA. She is actively involved in academic service, including administrative roles such as department head at Istanbul Health Sciences University and Mersin University, and membership in Bologna and education committees.

• Cochlear Implants
• Auditory Perception
• Music Perception
• +3 more

Christina Fuller is a researcher at the University of Groningen, active in interdisciplinary research bridging auditory neuroscience, medical data mining, and cancer therapy analysis. Her work primarily focuses on cochlear implants, music perception, and quality of life assessments for hearing-impaired individuals, while also contributing to symptom analysis in oncology through machine learning techniques. Key Research Areas: Cochlear implants, music perception, human-machine collaboration in clinical contexts, and cancer symptom management. Academic Collaborations: Works with institutions like Advanced Bionics and Mandema Foundation, with international partnerships in data science and oncology. Awards: Recognized with the Mandema Stipendium (2016) for auditory perception research and Advanced Bionics Industry Support (2013) for music therapy development in cochlear implant users. Public Engagement: Frequently contributes to public discourse on hearing rehabilitation through media appearances and community-focused presentations. Dataset Contributions: Created open-access datasets on music perception in implant users, hosted at University of Groningen and DataverseNL.

• Cognitive Psychology
• Instructional Psychology
• Educational Technology
• +10 more

Dr. Christian Scharinger is an Associated Scientist and Principal Investigator at the Leibniz-Institut für Wissensmedien (IWM) in Tübingen, Germany, where he has been actively engaged in research since 2010. He is a member of the Multimodal Interaction Lab and leads a DFG-funded project on neurophysiological measures in instructional design. His research integrates cognitive psychology with educational technology, focusing on how digital learning environments affect cognitive processes. Christian Scharinger earned his M.A. in Linguistics, Informatics, and Media Sciences from the University of Trier and the University of Konstanz in 2007. He completed his doctoral thesis in Cognitive Science at the University of Tübingen in 2015. From February to September 2017, he served as a postdoctoral researcher at the University of Tübingen’s Chair of Applied Cognitive Psychology and Media Psychology. His research interests center on the cognitive and neurophysiological mechanisms underlying learning in digital environments. He employs advanced methodologies such as combined EEG and eye-tracking to investigate cognitive load, working memory, and the effects of multimedia elements like decorative pictures and virtual reality. He is particularly interested in how seductive details influence learning and how user-friendly digital interfaces can be designed based on neurocognitive data. The recent publications of Christian Scharinger reflect a strong trend in using neurophysiological indicators—especially EEG frequency band power and pupil dilation—to assess cognitive load across various learning contexts, including text reading, VR, and gamified tasks. His work bridges cognitive theory with practical applications in educational design, often evaluating the validity of multimedia learning principles through empirical neurocognitive data. Task-irrelevant decorative pictures increase cognitive load (2024) Effects of emotional decorative pictures on cognitive load (2023) Gamification of n-back tasks (2023) EEG and eye-tracking in text-picture learning (2020) Cross-subject cognitive load classification (2018) Christian Scharinger has been involved in multiple DFG and interdisciplinary research projects, including those on virtual reality, working memory load, and perception of historical sites. He has taught seminars at Hochschule Tuttlingen and Hochschule Fresenius Heidelberg, contributing to academic training in psychology and technology. He is also a member of the IWM postdoc network 'Cognitive Conflicts During Media Use', indicating active engagement in collaborative research. While no formal advisees are listed, his role as a PI and lab member suggests mentorship responsibilities. He has contributed to setting up and operating a combined EEG-eye-tracking laboratory at IWM, demonstrating technical leadership. His work spans both basic and applied research, with implications for instructional design, human-computer interaction, and educational technology. He regularly presents at major conferences such as EARLI, TeaP, and ETRA, and has organized symposia and workshops, reflecting strong academic leadership.

Yuxuan SunView profile

Researcher

• Mobile Edge Computing
• Edge Learning
• Federated Learning
• +3 more

Yuxuan Sun is a Researcher at Tsinghua University's Department of Electronic Engineering and a visiting researcher at Imperial College London's Intelligent Systems and Networks (ISN) group. She earned a B.S. in Telecommunications Engineering from Tianjin University (2015) and a Ph.D. in Information and Communication Engineering from Tsinghua University (2020). Her research focuses on mobile edge computing, edge learning, and federated learning, with applications in vehicular networks and wireless systems. She has received the Best Student Award from Tsinghua-Intel (2018) and holds roles as an Assistant Editor-in-Chief for IEEE Transactions on Green Communications and Networking and a reviewer for top journals like IEEE TWC and TVT. Her work emphasizes optimizing computation offloading, scheduling policies, and energy efficiency in edge environments. Notable contributions include studies on distributed task replication for vehicular edge computing and mobility-aware federated learning frameworks. She has been recognized with travel grants (e.g., IEEE Comsoc at GLOBECOM 2019) and has collaborated on projects like the 'MEET' framework for green 6G networks. Education: B.S., Tianjin University, Telecommunications Engineering (2015) Ph.D., Tsinghua University, Information and Communication Engineering (2020) Awards: Best Student Award (2018) Grants: IEEE Comsoc Student Travel Grant (GLOBECOM 2019) Her research spans edge computing frameworks, federated learning in constrained environments, and semantic communication for 6G systems. She leads collaborative efforts in labs like Tsinghua's Information Processing and Communications Lab and contributes to industry-academia partnerships.

Ganesh Neelakanta IyerView profile

Lecturer

• Software Engineering
• Agile Software Development
• Cloud Computing
• +13 more

Ganesh Neelakanta Iyer is a Lecturer in the Department of Computer Science at the School of Computing, National University of Singapore (NUS). He holds a PhD (2012) and MSc (2008) from NUS and a B.Tech. in Computer Science and Engineering from Mahatma Gandhi University, India (2004), where he ranked first. He brings over a decade of industry experience from companies like Salesforce, NXP, and Progress Software, and prior academic roles at Amrita Vishwa Vidyapeetham and IIIT-Hyderabad. His research interests span Software Engineering , Cloud/Edge Computing , Machine Learning , AI for Cultural Heritage , and Software Engineering Education . He founded the STeAdS (Software Engineering and Technological Advancements for Society) research group in 2021, focusing on technology applications in healthcare, education, and traditional arts like Kathakali and Wayang Kulit. The recent publications highlight a strong trend in AI-driven educational technologies , including LLMs for curriculum customization, web-based DevOps learning platforms, and agile project management tools. Another major theme is AI in cultural preservation , with works on Kathakali gesture and facial expression recognition. A third stream involves distributed systems and networking , particularly in edge computing and federated learning. Faculty Teaching Excellence Award 2024, NUS AWS Educate Cloud Faculty Ambassador (2019, 2020) Certified Kubernetes Administrator (CKA) University Topper (First Rank, 2004) NUS Postgraduate Research Scholarship (2009–2012) Dr. Iyer mentors students through UROP, FYP, Master’s, and PhD projects, and has led numerous grants and initiatives in cloud computing education and AI for societal benefit. He has delivered workshops and keynote speeches across the USA, Europe, Australia, and Asia. He actively leads the STeAdS virtual research group, fostering global collaborations. As a maestro in Kathakali, he integrates traditional art with technology, composing and staging performances while applying AI to preserve and analyze this heritage.

• Cooperative Learning
• Reflective Learning
• Sustainable Education
• +5 more

Dr. Maria Dolores Cañabate Ortiz serves as a Lecturer in the Department of Specific Didactics at the University of Girona, Catalonia, Spain. She is the Principal Investigator of the Research Group GREPAI (Education, Heritage and Arts Intermedia) and Coordinator of the Spanish Network of Cooperative Learning. Her academic work spans physical education, cooperative learning methodologies, and movement-based pedagogy within higher education contexts. Dr. Cañabate's research focuses on two primary areas: (1) Reflective and Cooperative Learning with emphasis on Sustainable Education in Higher Education, where she fosters responsible, critical and active learning approaches; and (2) The languages of movement, exploring how body expression can serve as an educational strategy from an integral perspective. Her work demonstrates how physical education and movement-based approaches can address broader educational goals including emotional regulation, social skills development, and sustainable development. Analysis of her recent publications reveals strong interdisciplinary connections between physical education, sustainable development goals, and innovative teaching methodologies. Her work consistently bridges theoretical educational frameworks with practical classroom applications, particularly in cooperative learning structures. A significant portion of her research examines how movement and physical expression can enhance cognitive development, emotional regulation, and social integration across diverse educational contexts from preschool through university levels. As Principal Investigator of GREPAI, Dr. Cañabate leads research on education, heritage, and intermediate arts. She has developed multiple collaborative projects examining how cooperative learning approaches can foster sustainable development competencies. Her leadership extends to coordinating the Spanish Network of Cooperative Learning, connecting researchers and practitioners across the country. Dr. Cañabate's laboratory work focuses on movement analysis and cooperative learning implementation. Her team employs multimodal approaches to study physical education methodologies, often incorporating video analysis, reflective practice frameworks, and student perception surveys to evaluate educational interventions. Current projects examine how movement-based pedagogies can address educational inequalities and promote sustainable development goals.

Apoorva ChauhanView profile

Assistant Professor

• Human-Computer Interaction
• Crisis Informatics
• Education Research
• +3 more

Apoorva Chauhan serves as an Assistant Professor in the Department of Mathematics & Information Technology within the Faculty of Science at Concordia University of Edmonton, specializing in the intersection of technology and human behavior during critical events. Education: Ph.D in Computer Science from Utah State University, USA M.S. in Computer Science from Utah State University, USA B.E. in Computer Science from Lakshmi Narain College of Technology, India Postdoctoral research at David R. Cheriton School of Computer Science, University of Waterloo, Canada Research Focus: Dr. Chauhan's pioneering work bridges Human-Computer Interaction with Crisis Informatics , examining how digital platforms shape disaster response and public communication. Her Education Research investigates technology-mediated learning, particularly through conversational agents and collaborative platforms. Recent projects analyze humor in pandemic communication, trustworthiness of crisis-related social media, and innovative tools like the Curiosity Notebook for learning-by-teaching methodologies. Publication Trends: Her 2017-2023 publications reveal a consistent trajectory in crisis informatics, with increasing focus on social media dynamics during disasters (wildfires, pandemics) and educational technology applications. Key contributions include frameworks for evaluating crisis information trustworthiness, design principles for educational conversational agents, and novel analyses of humor as a communication strategy in high-stress scenarios, all presented at premier venues like CHI, CSCW, and ISCRAM. Scientific Awards: No awards were documented in available sources. Academic Contributions: While specific advising details remain unreported, her research demonstrates significant industry and community impact through partnerships with crisis response organizations. Current projects likely involve securing grants for crisis communication infrastructure and educational technology development, though formal grant documentation wasn't accessible. Research Infrastructure: Collaborative work with Amanda Hughes (Virginia Tech) and Edith Law (University of Waterloo) suggests interdisciplinary team structures, though dedicated labs weren't specified in institutional materials.

Hanako YoshidaView profile

Professor

• Developmental Psychology
• Cognitive Neuroscience
• Behavioral Neuroscience
• +9 more

Dr. Hanako Yoshida is a Professor at the University of Houston, affiliated with the Department of Psychology in the College of Liberal Arts and Social Sciences. She serves as Director of the Cognitive Development Lab, focusing on early attention and language development. Her research bridges developmental psychology, cognitive neuroscience, and behavioral neuroscience to study language acquisition, social attention, and multimodal learning. Education: Ph.D. from Indiana University Affiliations: Cognitive Development Lab, University of Houston Dr. Yoshida’s research explores how infants develop attentional mechanisms through object manipulation, parental scaffolding, and social coordination. She investigates bilingual learning experiences, gaze distribution patterns, and executive function development, with a strong emphasis on autism spectrum disorders and cross-linguistic comparisons. From 2022-2024, her lab has published on head-mounted eye-tracking in ASD research, saliency-driven attention, and parental strategies for attentional development. Earlier work from 2017-2022 examined executive function, verb learning, and attentional highlighting in bilingual and monolingual children, often using computational analysis of infant visual environments. Her publications span journals like Journal of Neurodevelopmental Disorders , Acta Psychologica , and Frontiers in Psychology . Collaborative projects frequently involve international studies (US, Argentina, Vietnam) and interdisciplinary methodologies including head cameras, egocentric video analysis, and behavioral experiments. Key Research Themes: Attentional mechanisms in early learning Parental influence on gaze behavior Bilingualism effects on cognition Autism diagnostic methodologies Executive function across cultures Development of social and cognitive ontologies

Kate ArringtonView profile

Professor

• Cognitive Psychology
• Cognitive Control
• Human Multitasking
• +4 more

Kate Arrington is a Professor in the Department of Psychology at Lehigh University, internationally recognized for her research on cognitive control and multitasking. She earned her Ph.D. in Cognitive Psychology from Michigan State University in 2002 and completed an NRSA-funded postdoctoral fellowship at Vanderbilt University before joining Lehigh in 2005. Role: Chair of the Department of Psychology Contact: 610.758.4230 | cma205@lehigh.edu | Chandler-Ullmann room 130 Research Interests: Cognitive psychology, cognitive control mechanisms, human multitasking, and applied cognition. She investigates interactions between stimulus-driven and goal-directed processes in task selection and performance, exploring individual and situational variability in cognitive control. Developed the voluntary task switching paradigm for lab-based studies Applied research in intelligent tutoring systems and multimodal learning interfaces Scientific Awards & Leadership: NIH and NSF grant funding for multitasking and cognitive control research Rotating Program Officer, NSF Perception, Action, and Cognition program (2015-17) Chair, Women in Cognitive Science (from 2021) Director, Lehigh’s Institute for Data, Intelligent Systems, and Computation Teaching: Cognitive Psychology, Cognition in Practice and Policy, Research Methods and Statistics.

Camilla SpalivieroView profile

Research Fellow

• Second Language Acquisition
• Multilingual Education
• Intercultural Education
• +3 more

Camilla Spaliviero is a Research Fellow at Ca' Foscari University of Venice (SSD: GLOT-01/B), specializing in second language acquisition, multilingual education, and intercultural pedagogy. She holds a PhD in Linguistics from Ca' Foscari, focusing on literary texts in foreign language classrooms. She also teaches Italian as a Second Language (L2) at the University of Bologna, Ferrara, and Turin. Her current Marie Skłodowska-Curie grant (2025–) supports the LATECO project, fostering multilingualism through teacher collaboration, based at the University of Bergen (Norway), with secondments at the University of Graz (Austria) and the University of Copenhagen. Her research emphasizes multilingualism, digital resources, and teacher training. She coordinates the 'Itals Letteratura' project, exploring multimodal and digital tools in L2 education. She is affiliated with several research networks, including the 'Multilingualism on My Mind' (MoMM) group at the University of Bergen and the 'Literature in Language Learning and Teaching Network' (LiLLT ReN). Spaliviero has extensive international experience, including visiting roles at the University of Valencia and Bergen. She is a member of editorial boards for Rassegna Italiana di Linguistica Applicata (RILA) and EL.LE. Educazione Linguistica , and has reviewed for leading journals. Her work integrates literary texts, digital storytelling, and intercultural education to address migrant writers' contributions and multilingual classroom dynamics. Key awards include the Marie Skłodowska-Curie grant (2025–), and her research spans over 45 publications, including monographs and peer-reviewed articles on language pedagogy, teacher training, and literary education. She also trains Italian language teachers internationally and examines for the CEDILS certification.

• Cultural Anthropology
• Digitalization in Everyday Life
• Mathematization of Society
• +12 more

Ina Dietzsch is a full professor and executive director at the Institute for European Ethnology/Cultural Anthropology at Philipps University of Marburg, affiliated with the Faculty of Social Sciences and Philosophy. She leads the Institute for Empirical Cultural Studies and is deeply engaged in interdisciplinary research on digital culture, water, and technology. She also holds a scientific project management role at the University of Basel and FHNW in Switzerland. PhD, Humboldt University of Berlin (2000) Habilitation, University of Basel (2015) W3 Professor, Philipps University of Marburg (2020–present) Her research centers on the digitization and mathematization of nature, with a focus on water practices, ontologies, and narratives. She explores how digital technologies reconfigure human, animal, plant, and technical relations, particularly in agriculture and urban development. Drawing on feminist theorists like Donna Haraway, she critically examines posthuman and cyborg identities, participatory design, and visual communication. The recent publications reflect a strong trend in digital cultural techniques, especially in water and agriculture. Themes include smart water systems in South Africa, posthuman readings of urban water, digital farming methodologies, and the role of visual participation in urban planning. The works combine ethnographic, theoretical, and design-anthropological approaches. Ina Dietzsch is actively involved in academic leadership and collaboration. She is a board member of the Marburg Center for Digital Culture and Infrastructure and the DGEKW Commission on Digitalization in Everyday Life. She co-leads the Critical Icono-Ethnography Lab (CIELab) and the Marburg Water Lab, fostering interdisciplinary and participatory research. She has supervised various research projects funded by the Swiss National Science Foundation and the German Federal Ministry of Education and Research. Her work bridges cultural anthropology, science and technology studies, and design, with a strong emphasis on public engagement and collaborative knowledge production.

Birgitte Stougaard PedersenView profile

Associate Professor

• Sound Studies
• Literature
• Digital Culture
• +12 more

Birgitte Stougaard Pedersen is an Associate Professor in the Department of Aesthetics and Culture at the School of Communication and Culture, Aarhus University. She is actively engaged in research, leadership, and public scholarship, currently serving as Head of the Research Program 'Arts, Aesthetics, Communities' and Head of the Center for Literature Between Media. Her work bridges literature, sound, digital culture, and phenomenology. Her research interests include: Sound and aesthetic experience Digital audiobooks and voice Multisensory reading practices Phenomenological literary analysis Poetry slam and performance Media studies and medialization Recent publications reflect a strong trend in exploring how digital technologies transform reading and listening, particularly in children’s education. Her work integrates theoretical depth with empirical studies, often in collaborative, interdisciplinary settings. Themes such as rhythm, resonance, voice, and embodiment recur across her scholarship, showing a consistent focus on the sensory and affective dimensions of literature and media. Scientific recognition includes: AIAS Carlsberg Monograph Fellow (2025–2026) She has served as Principal Investigator on major projects like 'Reading Between Media,' funded by the Novo Nordisk Foundation, and has advised student bachelor projects. Her editorial roles include contributions to Resonance: Journal of Sound and Culture and Barnbogen . She is also active in public engagement through press and media contributions. She is involved in several research groups and networks, including 'Lydgruppen' and international collaborations with VIA University College and Malmö University, reflecting a strong commitment to interdisciplinary and cross-institutional research.

• Human-Computer Interaction
• Data Visualization
• Artificial Intelligence
• +4 more

Dr. Alvitta Ottley is an Assistant Professor in the Department of Computer Science & Engineering at Washington University in St. Louis, with a courtesy appointment in the Department of Psychological & Brain Sciences. Her research focuses on interdisciplinary approaches to visualization systems, machine learning, and cognitive science to enhance decision-making in healthcare, intelligence analysis, and scientific discovery. She leads the AIR-D Summer Science Camp, a program aimed at underrepresented high school students in STEM. Education: PhD and MS in Computer Science from Tufts University (2016, 2013). Research Interests: Developing adaptive visualization systems that account for users' cognitive traits and goals. Her work integrates AI-driven insights with human factors to create context-aware interfaces. Recent studies explore trust dynamics in visualizations, cross-cultural visualization literacy, and the impact of chart types on legal decision-making. Awards: NSF CRII Award (2018), NSF Career Award, EuroVis Early Career Award (2022), and multiple best paper recognitions at top visualization conferences. Grants & Advising: Active in mentoring students and securing grants such as the NSF CAREER Award for context-aware systems. Her work on medical decision-making visualization received NSF support in 2018. Labs & Teams: Affiliated with the Division of Computational & Data Sciences and the Center for Trustworthy AI in CPS, focusing on ethical AI integration in visual analytics.

• Digital Photogrammetry
• Computer Vision
• Geospatial Imaging
• +10 more

Dr. Jackson David Cothren is a Professor in the Department of Geosciences at the University of Arkansas, where he also serves as the Leica Geosystems Chair in Geospatial Imaging. He holds dual leadership roles as Director of the Center for Advanced Spatial Technologies (CAST) and the Arkansas High Performance Computing Center (HPCC). His academic affiliations are deeply rooted in geospatial science, computer vision, and high-performance computing, bridging engineering and environmental applications. Ph.D. in Geodetic Science and Surveying, The Ohio State University M.S. in Geodetic Science and Surveying, The Ohio State University B.S. in Applied Mathematics, United States Air Force Academy Dr. Cothren's research spans digital photogrammetry, computer vision, UAV-based geospatial monitoring, and spatial archaeometry. He investigates non-traditional sensor modeling, feature extraction, surface generation, and integration with enterprise geospatial systems. His work increasingly incorporates deep learning, transformer models, and AI-driven analytics for applications in renewable energy, autonomous systems, and environmental sustainability. His recent publications highlight innovations in solar PV profiling, aerial image segmentation, and fairness-aware domain adaptation. The trends in his recent scholarly output reflect a strong shift toward machine learning and AI in geospatial analysis, particularly using transformer architectures for high-resolution imaging and cross-domain adaptation. His work integrates Lidar, GPS, and InSAR for deformation monitoring and leverages HPC for large-scale data processing. Applications span archaeology, agriculture, transportation, and energy infrastructure. Dr. Cothren has received numerous competitive grants from NSF, NEH, and USDA, supporting interdisciplinary research in geospatial analytics, smart transportation, and cultural heritage. His projects emphasize data-driven decision-making, community engagement, and workforce development in geospatial technologies. Principal Investigator, NSF E-RISE Rll: Arkansas Smart Transportation Research Incubator (2025–2029) Lead, RII Track-1: DART – Data Analytics that are Robust and Trusted (NSF, 2020–2025) Director, OPEN-GATE: Expanding Geospatial Education (NSF, 2016–2020) He mentors a broad interdisciplinary team and leads collaborative research initiatives involving computer vision, environmental science, and archaeology. His labs and research centers—CAST and HPCC—serve as hubs for innovation in spatial technologies, high-performance computing, and data-intensive research across the university and beyond. These centers support large-scale projects in archaeo-geophysics, UAV monitoring, and enterprise GIS integration.

• Computational Neuroscience
• Robotics
• Machine Learning
• +3 more

Florentin Wörgötter is a faculty member at the Department for Computational Neuroscience , Georg August University of Göttingen, Germany. His research bridges robotics , computational neuroscience , and machine learning , focusing on action prediction, neural networks, and human-robot interaction. Key Research Areas : Action segmentation, semantic decomposition of manipulation sequences, 3D object reconstruction, and sensor fusion for infant movement classification. Recent Trends : Combining task-dependent learning with optimal path search, using foundation models for graph-based action recognition, and improving CNN interpretability through influence functions. He collaborates extensively with researchers like Minija Tamosiunaite , Tomas Kulvicius , and Poramate Manoonpong , contributing to journals such as NeuroImage , Robotics and Autonomous Systems , and IEEE Transactions on Neural Networks . His work often integrates deep learning , semantic reasoning , and biologically inspired models for robotic applications.